Ramneek Khurana

Co-Founder

Bengaluru, Karnataka, India19 yrs 2 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Founding team member at Lenskart.
  • Expert in supply chain and operations management.
  • Proven track record in data analysis and optimization.
Stackforce AI infers this person is a Supply Chain and Product Management expert with a strong background in data-driven decision making.

Contact

Skills

Core Skills

Product ManagementSupply Chain ManagementPeople ManagementOperational ExcellenceProduction PlanningOperations ManagementData AnalysisWarehouse OperationsSimulation

Other Skills

AnalysisC++Cost-benefit analysisData ExtractionData MiningData collectionForecastingInventory TrackingLeadershipLogisticsManagementOptimizationOptimizationsPlanning system developmentProduct Development

About

Part of Founding team at Lenskart, currently leading Product for Android, iOS, web apps and POS, Supply chain systems. Graduated with MS Industrial Engineering, Georgia Institute of Technology in 2009. Previously, worked on Michelin’s Greenfield Chennai Site for projects dealing with: Purchasing, Simulation of plant capacity & training.

Experience

19 yrs 2 mos
Total Experience
4 yrs 9 mos
Average Tenure
14 yrs 1 mo
Current Experience

Lenskart.com

Team Lenskart

May 2012Present · 14 yrs 1 mo

LeadershipProduct ManagementSupply Chain ManagementOperations Management

Michelin

4 roles

Team Leader

Jan 2012May 2012 · 4 mos

Business Unit Leader

Promoted

Sep 2011Dec 2011 · 3 mos

  • Was responsible for 51 direct reports (operators); and coordination of multi-disciplinary experts
  • Got the opportunity to practice:
  • o Operational excellence tools: Root cause analysis, 5-S, etc
  • o People management: leading teams to successful results
  • Reduced downstream downtime by >50%
Root cause analysisPeople managementOperational excellence

Flow Coordinator

Jan 2011Sep 2011 · 8 mos

  • Was responsible for Production planning on shift to ensure shift production targets, prioritizing based on Market demand
  • Developed & Implemented real-time visual monitoring system to ensure conformation to plan by:
  • o Giving real-time update on current production rate versus the planned target
  • o Reporting operations inactivity (due to lack of materials, manpower, etc)
  • Developed & implemented planning system for Supplier shop, enabling planning at operator level
Production planningReal-time monitoringPlanning system developmentOperations Management

Industrial Engineer

Jan 2010Dec 2010 · 11 mos

  • January 2010 – December 2010 (1 year) Anderson, South Carolina, USA
  • WAREHOUSE OPERATIONS (co-Project Leader), American Synthetic Rubber Company
  • Used Data Analysis to Optimize Inventory Storage; reduced operational costs
  • Developed & Implemented VBA based Warehouse Management System (WMS) & Inventory Deployment system
  • Also proposed Long term operational change strategy with huge annual operational cost savings
  • FLOW AND TRACEABILITY PILOT, Michelin Semi – Finished Division
  • Proposed RFID tags based Inventory Tracking for reducing costs and Improving quality
  • Developed: Material flow changes, Handheld and desktop systems for inventory tracking & analysis
  • Designed Planning system to improve material flow and reduce downtime & costs
  • Also, created automated downtime tracking system for the post
  • LAB OPERATIONS, Michelin Semi – Finished Division
  • Proposed modified operations model, with savings in operations cost
Data AnalysisVBAInventory TrackingSimulationWarehouse Operations

Perfetti van melle

Supply Chain & Planning Intern

May 2009Jul 2009 · 2 mos

  • REPLENISHMENT PLANNING for 30 Warehouses: Developed Data Extraction and Refinement module from SAP (Data Mining) for supply from 3 production locations. Led to reduction in time spent by 60%.
  • SERVICE LEVEL OPTIMIZATION: Analyzed and tested regression based forecasting methodology, built VBA based forecasting module. Tests showed more than 70% reduction in inventory at warehouses, with same fill rates.
  • Developed TRANSPORT MODE SELECTION module (Prototype), for making dispatches automatically.
Data ExtractionData MiningForecastingData AnalysisSupply Chain Management

Georgia institute of technology

Projects

Aug 2008Dec 2009 · 1 yr 4 mos

  • PATIENT SCHEDULING MODEL – Da Vita, Georgia Institute of Technology Fall’09
  • Built VBA based prototype capable of scheduling, while incorporating several patient, doctor and facility constraints
  • SYSTEM MODELING, SIMULATION & OPTIMIZATION - BMW Manufacturing, Georgia Institute of Technology Fall’09
  • Interfaced several platforms using SysML: analysis software (MS Excel), database (MS Access) and simulation model (MATLAB - Simulink)
  • Demonstrated the ability of above model in optimizing Customer – Supplier WIP inventory at BMW, South Carolina.
  • SUPPLY CHAIN & WAREHOUSE STRATEGY, United Technologies, Georgia Institute of Technology Spring’09
  • Optimization of Southern European Supply Chain operations by extensive data analysis of sales history, distribution locations, etc
  • Created easy to use and reliable forecasting model for warehouse inventory decisions and analyzed warehousing network structure
  • Test showed cut in inventory held by 3 Million Euros and savings of more than 500,000 Euros annually
  • DATA ANALYSIS, Georgia Institute of Technology Spring’09
  • Worked on projects dealing with implementation of Statistical methods on computer:
  • Tracking returns of NASDAQ by using a number of stocks via construction of regression model in R
  • Calculating Shortest Confidence interval via implementing double layer bisection approach in MATLAB
  • Fitting a spline to determine missing data on the historical prices of the Dow Jones Industrial Average in MATLAB
  • WAREHOUSE OPERATIONS, Global Cold Chain Alliance - Americold, Georgia Institute of Technology Fall’08
  • Developed methodology for Optimizing Inventory of Forward Pick area, in to reduce picking operational costs
  • Simulation demonstrated savings of more than 10% in labor hours spent.
VBAStatistical methodsData AnalysisSimulation

University of newcastle

Research Project

Jun 2006Apr 2008 · 1 yr 10 mos · Newcastle University & GGS Indraprastha University

  • Lab scale data collection of the process
  • Scale up analysis and calculations
  • Industrial scale simulation of the process using Aspen Tech.
  • Cost-benefit analysis, yielding Economic feasibility report.
Data collectionCost-benefit analysisSimulation

Education

Georgia Institute of Technology

MS — Industrial Engineering

Jan 2008Jan 2009

Guru Gobind Singh Indraprastha University

Bachelors — Chemical Engineering

Jan 2004Jan 2008

Newcastle University

HRMS

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